Purpose - Price forecasting is essential for risk management in deregulated electricity markets. The purpose of this paper is to propose a hybrid technique using wavelet transform (WT) and multiple ...linear regression (MLR) to forecast price profile in electricity markets.Design methodology approach - Price series is highly volatile and non-stationary in nature. In this work, initially complete price series has been decomposed into separate 48 half-hourly series and then these series have been categorized into different segments for price forecasting. For some segments, WT based MLR has been applied and for the other segments, simple MLR model has been applied. The model is general in nature and has been implemented for one day-ahead price forecasting in National Electricity Market (NEM) of Australia. Participants can use the technique practically, since it predicts price well before submission of bids.Findings - Forecasting performance of the proposed WT and MLR based mixed model has been compared with the three other models, an analytical model, a MLR model and an artificial neural network (ANN) based model. The proposed model was found to be better. Performance evaluation for different wavelets was performed, and it has been observed that for improving forecasting accuracy using WT, Daubechies wavelet of order two gives the best performance.Originality value - Forecasting accuracy improvement of an established technique by incorporating time domain and wavelet domain variables of the same time series into one set has been implemented in this work. The paper also attempts to explain how non-stationarity can be removed from a non-stationary time series by applying WT after appropriate statistical investigation. Moreover, real time electricity markets are highly unpredictable and yet under investigated. The model has been applied to NEM for the same reason.
The personal assessments of the current and expected future state of the environment by 3232 community respondents in 18 nations were investigated at the local, national, and global spatial levels. ...These assessments were compared to a ranking of each country's environmental quality by an expert panel. Temporal pessimism (“things will get worse”) was found in the assessments at all three spatial levels. Spatial optimism bias (“things are better here than there”) was found in the assessments of current environmental conditions in 15 of 18 countries, but not in the assessments of the future. All countries except one exhibited temporal pessimism, but significant differences between them were common. Evaluations of current environmental conditions also differed by country. Citizens' assessments of current conditions, and the degree of comparative optimism, were strongly correlated with the expert panel's assessments of national environmental quality. Aside from the value of understanding global trends in environmental assessments, the results have important implications for environmental policy and risk management strategies.
In this article, the wholesale price of the Ontario electricity market has been forecasted by splitting the time series into 24 series, one for each hour of the day. Then, a one-step ahead forecast ...for each hour of the next day for a test period of three years has been made using the respective hour-time series and by employing a support vector machine. A detailed sensitivity analysis was performed for the selection of model parameters. Furthermore, the performance of a support vector machine model has been compared with a heuristic technique, simulation model, linear regression model, neural network model, neuro-fuzzy model, autoregressive integrated moving average model, dynamic regression model, and transfer function model. It has been shown that the proposed variable-segmented support vector machine model possessed better forecasting abilities than the other models and its performance was least affected by the volatility.
To use first-pass perfusion computed tomography (CT) to prospectively investigate tumor vascularity in rectal cancer and to determine whether any of the perfusion parameters would predict tumor ...response to chemotherapy and radiation therapy.
The institutional review board approved this study, and informed prior consent was obtained from participants. Perfusion CT of rectal cancer was performed with four-section multi-detector row CT in 15 patients (13 men, two women; mean age, 62.1 years; age range, 46-84 years). Five patients with prostate cancer served as controls. All patients with rectal cancer underwent 6-8 weeks of chemotherapy and radiation therapy followed by surgery. In nine patients, perfusion CT was repeated after completion of chemotherapy and radiation therapy. Contrast medium-enhanced dynamic CT was performed with a static table position for 45 seconds, and the data were analyzed by using commercial software to calculate tissue blood flow (BF), blood volume, mean transit time (MTT), and vascular permeability-surface area product. Perfusion parameters of normal rectum and tumor were compared. Perfusion parameters before and after chemotherapy and radiation therapy were compared. A tumor was considered to have responded if its stage at pathologic analysis indicated regression compared with the preoperative stage. Baseline perfusion values were compared between responders and nonresponders. Statistical analysis was performed with the Student t test.
Rectal cancer showed higher BF and shorter MTT compared with those of normal rectum (P < or =.05). After chemotherapy and radiation therapy, tumors showed significant reduction in BF and increase in MTT (P < or =.05). There was a significant difference in baseline BF and MTT values between responders and nonresponders (P < or =.05). Tumors in three patients with high initial BF and short MTT showed poor response.
Perfusion CT of rectal cancer can enable assessment of tumor vascularity and perfusion changes that result from chemotherapy and radiation therapy. In this small patient sample, tumors with initial high BF and short MTT values tended to respond poorly to chemotherapy and radiation therapy.
Aim: The objective of the study was to assess the effect of supplementation with dietary shatavari, Asparagous racemosus root extract on growth, feed conversion and nutrient utilization in Labeo ...rajasthanicus. Methodology: Two-hundred-seventy fingerlings of equal size (8.19±0.03g) were stocked in 18 fibre reinforced plastic tanks following complete randomized design. Six iso-nitrogenous (30% crude protein) and iso-caloric (390 kcal digestible energy per 100 g) diets were prepared with graded level of ethanolic shatavari root extract, i.e., 0.00, 0.15, 0.30, 0.45, 0.60, 0.75 g kg-1 and designated as control, T1, T2, T3, T4 and T5 were fed to L. rajasthanicus twice a day for 45 days. The growth performance, feed conversion and nutrient utilisation were considered as response parameters. Results: Significantly (P<0.05) higher growth performance (weight gain %, specific growth rate, net yield and mean daily weight gain percentage) and better feed conversion and nutrient utilization (protein efficiency ratio and lipid efficiency ratio) were observed in T1 group than in other experimental groups. Interpretation: Based on these findings, it can be concluded that ethanolic extract of shatavari root can be used as a growth promoter and can be included at the supplementation level of 0.15 g kg-1 diet for Labeo rajasthanicus.
The optimal management of patients with breast cancer (BC) requires the expertise of specialists from different disciplines. This has led to the evolution of multidisciplinary teams (MDTs), allowing ...all key professionals to jointly discuss individual patients and to contribute independently to clinical decisions. Data regarding BC MDTs in different regions and countries are scarce.
The investigators of a large global phase III adjuvant BC trial being conducted by the Breast International Group were invited to respond to a questionnaire about the extent, structure, and function of BC MDTs.
One hundred and fifty-two responses from 39 countries were received, and remarkable differences were noted in different geographic regions. Sixty-five percent of the respondents from eastern Europe, 63% from western Europe, 35% from Asia, and 25% from South America declared that MDT was a mandatory part of BC care in their country. Ninety percent of the respondents from Europe stated their MDTs met weekly, compared with only half of the respondents from Asia.
This survey is perhaps the first large-scale effort to collect information regarding BC MDTs from different parts of the world and provides objective information of frequency, composition, function, and working mechanism of BC MDTs.
The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial ...intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.
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